| dc.contributor.author | Collins, James J. | |
| dc.date.accessioned | 2020-04-23T15:13:32Z | |
| dc.date.available | 2020-04-23T15:13:32Z | |
| dc.date.issued | 2018-05-21 | |
| dc.identifier.issn | 1087-0156 | |
| dc.identifier.issn | 1546-1696 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/124833 | |
| dc.description.abstract | Construction and characterization of large genetic variant libraries is essential for understanding genome function, but remains challenging. Here, we introduce a Cas9-based approach for generating pools of mutants with defined genetic alterations (deletions, substitutions, and insertions) with an efficiency of 80-100% in yeast, along with methods for tracking their fitness en masse. We demonstrate the utility of our approach by characterizing the DNA helicase SGS1 with small tiling deletion mutants that span the length of the protein and a series of point mutations against highly conserved residues in the protein. In addition, we created a genome-wide library targeting 315 poorly characterized small open reading frames (smORFs, <100 amino acids in length) scattered throughout the yeast genome, and assessed which are vital for growth under various environmental conditions. Our strategy allows fundamental biological questions to be investigated in a high-throughput manner with precision. | en_US |
| dc.description.sponsorship | United States. Defense Threat Reduction Agency (Grant HDTRA1-14-1-0006) | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1038/nbt.4147 | en_US |
| dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
| dc.source | PMC | en_US |
| dc.subject | Biotechnology | en_US |
| dc.subject | Molecular Medicine | en_US |
| dc.subject | Applied Microbiology and Biotechnology | en_US |
| dc.subject | Bioengineering | en_US |
| dc.subject | Biomedical Engineering | en_US |
| dc.title | High-throughput creation and functional profiling of DNA sequence variant libraries using CRISPR–Cas9 in yeast | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Guo, Xiaoge et al. “High-throughput creation and functional profiling of DNA sequence variant libraries using CRISPR–Cas9 in yeast.” Nature biotechnology 36 (2018) © 2018 The Author(s) | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Medical Engineering & Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
| dc.relation.journal | Nature biotechnology | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2020-03-04T17:54:01Z | |
| dspace.date.submission | 2020-03-04T17:54:03Z | |
| mit.journal.volume | 36 | en_US |
| mit.journal.issue | 6 | en_US |
| mit.license | PUBLISHER_POLICY | |
| mit.metadata.status | Complete | |